Hari Prasanna Das

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Ph.D. Candidate

Department of Electrical Engineering and Computer Sciences

University of California, Berkeley

Email: hpdas (at) berkeley.edu

Office: CREST Lab, 406 Cory Hall

Google Scholar

Brief Biography

I am a final year Ph.D. candidate in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, advised by Prof. Costas J. Spanos. I am also a Graduate Student Researcher for the Singapore-Berkeley Building Efficiency and Sustainability in the Tropics (SinBerBEST) program. My research lies at the intersection of Deep Learning, Computer Vision, Data-Efficient Machine Learning and Smart and Energy-efficient Buildings.

I graduated from Indian Institute of Technology (IIT) Kharagpur with a B.Tech.(Honors) in Electrical Engineering in 2016. During my undergraduate studies, I was fortunate to work with Prof. Ashok Pradhan on several projects. Prior to joining UC Berkeley, I worked for a year at Mentor Graphics, India as a R&D Engineer.


  • September 2022: Our paper "Improved Dequantization and Normalization Methods for Tabular Data Pre-Processing in Smart Buildings" was accepted at ACM BuildSys 2022 Conference.

  • May 2022: I was awarded the Lotfi A. Zadeh Prize by the Department of Electrical Engineering and Computer Sciences, UC Berkeley. This award recognizes a graduating PhD student who has made outstanding contributions to soft computing and its applications.

  • November 2021: Excited to share that a new report with detailed policy recommendations for governments on AI and Climate Change that I co-authored for the Global Partnership on AI, is out! Enjoy reading it here.

  • November 2020: I joined Climate Change AI, an organization catalyzing impactful work at the intersection of climate change and machine learning.

  • April 2020: Research happening in our group has been covered by Wired Magazine. Read it here!

  • August 2019: I am a Graduate Student Instructor (GSI) for the upper division class "EECS 127/227AT: Optimization Models in Engineering" in its Fall 2019 offering with Prof. Alexandre M. Bayen.

  • January 2018: Our paper "Personal thermal comfort models based on physiological parameters measured by wearable sensors" has been accepted at Windsor Conference 2018